The rising tide of artificial intelligence and business automation: Developing an ethical framework

Recent advancements in robotics, artificial intelligence, machine learning, and sensors now enable machines to automate activities that once seemed safe from disruption—including tasks that rely on higher-level thinking, learning, tacit judgment, emotion sensing, and even disease detection. Despite these advancements, the ethical issues of business automation and artificial intelligence—and who will be affected and how—are less understood. In this article, we clarify and assess the cultural and ethical implications of business automation for stakeholders ranging from laborers to nations. We define business automation and introduce a novel framework that integrates stakeholder theory and social contracts theory. By integrating these theoretical models, our framework identifies the ethical implications of business automation, highlights best practices, offers recommendations, and uncovers areas for future research. Our discussion invites firms, policymakers, and researchers to consider the ethical implications of business automation and artificial intelligence when approaching these burgeoning and potentially disruptive business practices.     

Factors Affecting Global Inventory Prepositioning Locations in Humanitarian Operations—A Delphi Study

This article investigates the factors that are important to humanitarian organizations when determining locations for inventory prepositioning in preparation for emergencies—a critical decision faced by humanitarian managers. Current research in the sector is rich with mathematical models that focus on this decision, although these models have a limited scope in terms of decision factors. Through a Delphi study our article investigates, identifies, and orders a comprehensive set of factors that decision makers in the humanitarian sector take into consideration when determining where to preposition inventory on the global level. Through this process, 10 main factors are identified, with the top five factors being required: speed of emergency response, the availability and quality of infrastructure, the availability and quality of business support services, the cost of operating the facility, and the availability and quality of labor. We also include suggestions for facility location research based on the outcomes of our study.     

Understanding cross‐border mergers and acquisitions of African firms: The role of dynamic capabilities in enabling competitiveness amidst contextual constraints

This article builds on existing international business literature that examines the drivers of cross‐border mergers and acquisitions (M&As) within emerging and developing economy contexts, theoretically exploring how dynamic capabilities (DCs) are connected to these drivers, and how African emerging multinational enterprises (EMNEs) can pursue them to achieve competitiveness. The article's contribution is the development of a DC framework and testable propositions for African EMNEs' cross‐border M&As. The theoretical framework shows the division of DC dimensions—sensing, seizing, and transforming—and establishes explanations for their linkage with institutional and resource drivers for African EMNEs' cross‐border M&A competitiveness. In addition, the article outlines managerial implications to this effect. Overall, the article contributes to the emerging literature on the international expansion of African EMNEs through cross‐border M&As by underscoring the role of DCs.     

Survey of Teaching,Training, and Research in the field of Economic and Business Ethics in Latin America

Theories of business ethics or corporate responsibility tend to focus on justifying obligations that go above and beyond what is required by law. This article examines the curious fact that most business ethics scholars use concepts, principles, and normative methods for identifying and justifying these beyond-compliance obligations that are very different from the ones that are used to set the levels of regulations themselves. Its modest proposal—a plea for a research agenda, really—is that we could reduce this normative asymmetry by borrowing from the normative framework of “regulation” to identify and justify an important range of beyond-compliance obligations. In short, we might think of “self-regulation” as a language and a normative framework with some distinct advantages over other frameworks like stakeholder theory, corporate social responsibility, corporate citizenship, and the like. These other frameworks have been under attack in the business ethics literature of late, primarily for their vagueness and their disappointing inability to distinguish clearly between genuine beyond-compliance moral obligations, on the one hand, and charitable acts that are laudable but not morally obligatory, on the other.     

The candidate experience: Is it damaging your employer brand?

The importance of the candidate experience has only recently gained attention as the war for talent ensues. Despite its importance, there is a paucity of research examining the exchange relationship between the job candidate and the organization during the recruitment process. This article presents a model—illustrating the connections and exchanges made among an organization, the job candidate, and the organization’s recruitment process—that forms the candidate experience and, in turn, affects the employer’s brand either positively or negatively. Based on this framework, guidelines are presented to assist organizations in ensuring a positive candidate experience that will result in the strengthening of the employer brand and improving recruitment and business outcomes. Some of these business outcomes include strengthening relationships with customers and investors, referring friends to the company, and participating in future searches conducted by the organization.     

From talent management to talent optimization

The term ‘talent management’ has been around for quite some time, but definitions abound around the globe, applications are varied and a plethora of measures—mostly tactical—are currently being used. This article addresses how the concept of talent management is of both theoretical and practical value in any industry or geography. How can we know when talent investments have been optimized? What is the talent lifecycle and why is it important? Additionally, the article presents and illustrates the People Equity framework that serves as a global bridge between important individual and business outcomes such as turnover, financial performance, quality, productivity, customer retention, and organizational processes and policies that drive high or low talent optimization.     

Customer Involvement in Product Development: An Industrial Network Perspective

Purpose: In business markets, working with customers and users has become increasingly important to get knowledge about customer needs and to develop new products. The purpose of this article is twofold: (1) to develop a framework for analyzing customer involvement in product development in a business market context, and (2) to apply this framework to a particular company to describe and analyze how it practices customer involvement.

Methodology/approach: The article takes its main theoretical starting point in the industrial network approach, but also uses other literature from the innovation and product development field. The empirical study applies a qualitative case study approach and focuses on one company in the truck business.

Findings: The suggested framework deals with four key aspects of customer involvement: Why, when, how, and who. The observed pattern of the truck manufacturer shows how dealers, hauliers, and truck drivers are all part of the overall understanding of the customer. These actors are involved for different, typically very clear, purposes at different points in time through surveys, product clinics, and field testing. The pattern, referred to as mixed facilitative, is not one of close collaboration with individual customers, but one of broad involvement of several customers through business intelligence and direct involvement.

Research implications: First, the article provides researchers with a framework and method for studying customer involvement in product development. Second, the case study provides an illustrative example of the customer involvement pattern pursued by a leading company in a major industry. This enhances the understanding of the focal phenomenon, leads to managerial implications, and gives ideas for future research.

Practical implications: There are several managerial implications related to the why, when, how, and who questions. For example, it is pointed out that managers should consider involving customers more extensively than what seems to be common today—for example, by using customers as codevelopers, working with them throughout the entire development process (i.e., not only early and late), and including different types of users (with different requirements and wishes).

Originality/value/contribution of the article: The contribution lies in the development of a framework centered on the four key questions of customer involvement in

product development and using this framework for observing a pattern, and finding explanations and relating this pattern to how other firms are doing.     

Generating Competitive Intelligence in Organizations

Marketing strategy begins with customer and competitive intelligence. However, in sharp contrast to customer intelligence, there is little research on how competitive intelligence (CI) is actually generated within an organization. The absence of this knowledge makes it difficult to identify ways to improve the CI generation process. Drawing on both depth interviews with full-time personnel who conduct competitive intelligence and academic literature in related fields, the authors derive a novel conceptual framework that describes three interdependent phases of the competitive intelligence generation process: (1) organizing for competitive intelligence, (2) searching for information, and (3) sense-making. Dimensions of efficacy at each phase are also identified, and they are posited to be influenced by factors pertaining to: (1) the intelligence network, (2) the business environment, (3) the information environment, and (4) analyst characteristics. This framework departs from the existing literature by identifying core components of the competitive intelligence generation process, highlighting its iterative nature, and identifying variables germane to its success. The emergent framework's implications for managing the competitive intelligence generation process are discussed and future research directions are suggested.     

Wellness in business education: The convergence of theory,practice, and lifestyle

The authors provide an initial integrative framework for understanding the large, diverse, and growing domain of wellness literature related to business education. The terminology, research, and typical outcome measures of three key perspectives—individual, organizational, and societal—are presented. In addition, current applications of wellness concepts in business education programs and courses are reviewed. The foundation and guidance needed for understanding the importance of and structure for teaching and researching wellness in business education are provided, as are specific conclusions and recommendations for the development of the field.     

International strategy and business groups: A review and future research agenda

Motivated by the growth and internationalization of business groups, this paper reviews the business group literature and presents a future research agenda, highlighting their implications for international strategy. The paper identifies theoretical tensions and empirical ambiguities around three key business group features—corporate governance, internal markets, and corporate strategy—and three key outcome variables—performance, economic impact, and innovation—that have generated significant debate. We conclude with three methodological concerns relevant to these debates: generalizing business group research across countries, endogeneity in business group research, and performance measurement in business groups.     

Salesperson Resistance to Sharing Market Intelligence in Sub-Saharan Africa

This article presents a framework for exploring salesperson(s) resistance to sharing market intelligence in emerging markets in Sub-Saharan Africa. The authors propose that resistance to sharing market intelligence with relevant others, including the firm, coworkers, intermediaries, and sales managers, is a function of various individual, leadership, and organizational (firm) factors. This framework helps researchers understand how and why resistance develops among salespeople. Moreover, implications from these findings are presented to assist practitioners who wish to persuade and encourage African salespeople to share market intelligence for the benefit of their firms.     

“One of these days,things are going to change!” How do you make sense of market disruption?

The significance of mindsets is apparent in everyday business life. As today’s managers and companies face uncertainty and disruptive change in the business environment and markets, there is a growing need to understand and strategically address such change. This becomes challenging when disruptive market forces confront the institutional logic or rules of the game based on collectively acquired experience of doing business in the given field. In overcoming such challenges, managers’ hidden reasoning remains an untapped potential while their existing mindset influences what they attend to and what they decide to do. This article elaborates a diagnostic framework, accompanied by a tool to help managers make sense of disruptive markets and reflect individually and collectively on possible courses of action. The framework has two principal dimensions—strategic scope and focus—that are further divided into three business elements of strategic market-oriented management: offering, customer, and market. The tool offers a practical means of profiling individuals’ mindsets. In increasingly dynamic business environments, reflection capabilities represent a new source of competitive advantage.     

CSR, Co-optation and Resistance: The Emergence of New Agonistic Relations Between Business and Civil Society

This article examines the theoretical implications of the changing relationships between NGOs and businesses that have emerged as a response to the evolving agenda around CSR and sustainable development. In particular, it focuses upon examining whether greater engagement from non-governmental organisations (NGOs) in this area reflects a process of appropriation and co-optation of protest by the business community. To examine this process, the article considers two forms of appropriation—appropriation of language and appropriation via participation—as a basis for discussion. While co-optation pressures are identified within both areas, the article argues that co-optation is identified almost as an inevitable outcome of engagement without significant consideration of the ability of movements to identify and respond to these processes. In identifying an alternative approach, the article utilises Mouffe’s framework of agonistic pluralism. Mouffe’s framework, it is argued, provides an understanding of the way in which agonistic relationships are emerging between NGOs and businesses while highlighting the continuance of conflict between parties struggling to influence the contested interpretations of responsible business.     

International Sales Negotiations:

Successful business negotiation in global markets requires effective cross-cultural communication between buyer and seller. Building on a growing body of literature, this paper develops a four-step, funnel-like model of international sales negotiation. This bi-directional framework traces the communications flow from broad non-selling issues to specific aspects of the international sales transaction. The four stages—non-task related activities, information exchange, persuasion, and adjustment—are then discussed individually. Finally, directions for future research in the area of international sale negotiation are presented.     

Collaborative business models: Aligning and operationalizing alliances

It is not unusual for companies to generate substantial revenue through alliances. However, alliance failure rates are high, leaving much revenue at risk and value unrealized. The big challenge facing managers is to align company interests with alliance interests. Such alignment can only be achieved when executives pay considerable attention to building the right collaborative business model. In this article, we synthesize the insights of the existing literature to arrive at three collaborative business models—sharing, specialization, and allocation—that managers can use to address the specific requirements of their alliances. Because the literature provides limited insight regarding how to operationalize these models, we highlight what managers need to focus on when operationalizing each of these models. We find that the choice for an overall business model is relatively straightforward in most cases but that operationalization of business models requires more complex combinations of management techniques. Finally, we show how the three collaborative business models can be combined to build hybrid models.     

Formative versus reflective measurement models: Two applications of formative measurement

This paper presents a framework that helps researchers to design and validate both formative and reflective measurement models. The framework draws from the existing literature and includes both theoretical and empirical considerations. Two important examples, one from international business and one from marketing, illustrate the use of the framework. Both examples concern constructs that are fundamental to theory-building in these disciplines, and constructs that most scholars measure reflectively. In contrast, applying the framework suggests that a formative measurement model may be more appropriate. These results reinforce the need for all researchers to justify, both theoretically and empirically, their choice of measurement model. Use of an incorrect measurement model undermines the content validity of constructs, misrepresents the structural relationships between them, and ultimately lowers the usefulness of management theories for business researchers and practitioners. The main contribution of this paper is to question the unthinking assumption of reflective measurement seen in much of the business literature.     

Commitment to the Study of International Business and Cultural Intelligence: A Multilevel Model

Adopting a multilevel theoretical framework, we examined how metacognitive and motivational cultural intelligence influence an individual’s commitment to the study of international business (IB). Data from 292 undergraduate and graduate business students nested in 12 U.S. business school classes demonstrated that individuals’ metacognitive and motivational cultural intelligence are positively related to their commitment to the study of IB. Furthermore, there is additional commitment when the classrooms’ cultural intelligence climate is high. We discuss the implications of these findings within a classroom context that involves cross-cultural interactions.     

Business group reputation and affiliates’ internationalization strategies

The literature on business groups (BGs) has identified reputation as a critical factor in their success and survival. However, most studies have assumed that BGs are well-known and well-regarded—an assumption that may not be tenable in the context of international expansion. We use signaling theory to explore the causes of an unacknowledged source of BG heterogeneity—variance in their reputation prominence (whether they are well-known or not) and reputation quality (whether they are regarded favorably or unfavorably)—and seek to understand how this heterogeneity may result in differences in BG affiliates’ geographic scope and location choices as they internationalize.     

Leveraging collective intelligence: How to design and manage crowd-based business models

Advances in digital technologies have increased the possibilities for outsourcing business activities to crowds of independent contributors. Using the collective intelligence of a crowd opens a new range of business opportunities. In fact, crowdsourcing has led to the emergence of entirely new business models. Such crowd-based business models (CBBMs) can lead to an important competitive advantage while simultaneously presenting new challenges to entrepreneurs and executives. This article identifies and discusses three key challenges in designing and managing CBBMs: determining (1) the crowd's value to the firm, (2) how to create superior value for the crowd, and (3) how to capture value from the crowd effectively. Building on the crowd capital perspective and an analysis of the tactics and practices of successful CBBMs, this article offers propositions on how to overcome these challenges and manage such business models effectively. The identified practices can inspire decision makers when designing innovative CBBMs for their industries. Finally, the article concludes with a framework with the key decisions and tactics for effectively managing CBBMs.